Novel Spectrum Handoff in Cognitive Radio Networks Using Fuzzy Logic
Автор: Nisar A. Lala, Moin Uddin, N.A. Sheikh
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 11 Vol. 5, 2013 года.
Бесплатный доступ
Cognitive radio is a technology initiated by many research organizations and academic institutions to raise the spectrum utilization of underutilized channels in order to alleviate spectrum scarcity problem to a larger extent. Spectrum handoff is initiated due to appearance of primary user (PU) on the channels occupied by the secondary user (SU) at that time and location or interference to the PU exceeds the certain threshold. In this paper, we propose a novel spectrum handoff algorithm using fuzzy logic based approach that does two important functions: 1) adjusts transmission power of SU intelligently in order to avoid handoff by reducing harmful interference to PUs and 2) takes handoff decisions intelligently in the light of new parameter such as expected holding time (HT) of the channel as one of its antecedent. Simulated results show impact analysis of selection of the channel in the light of HT information and the comparison with random selection algorithm demonstrates that there is considerable reduction in handoff rate of SU.
Spectrum Handoff, Cognitive Radio, Fuzzy Logic, Holding Time, Transmission Power
Короткий адрес: https://sciup.org/15011996
IDR: 15011996
Список литературы Novel Spectrum Handoff in Cognitive Radio Networks Using Fuzzy Logic
- FCC. Notice of proposed rulemaking and order No. 03-222. Dec. 2003.
- Et docket No.03-237, Nov. 2003. [Online] Available: http://hraunfoss.fcc.gov/edocs_public/attachmatch/ FCC-03-289A1.pdf.
- Mitola J. Cognitive radio: an integrated agent architecture for software defined radio. Ph. D. Dissertation: KTH Royal Institute of Technology, 2000.
- Mitola J, Maguire GQ. Cognitive radio: making software radios more personal [J]. IEEE Personal Communications, 1999, 6(4):13-18.
- Haykin S. Cognitive radio: Brain empowered wireless communications [J]. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 201-220.
- Liu HJ, Wang ZX, Ll SF, Yl M. Study on the performance of spectrum mobility in cognitive wireless network [C]. In: Proceedings of (IEEE) International Conference on Communication Systems (ICCS), 2008.
- Song Y, Xie J. Proactive spectrum handoff in cognitive radio adhoc networks based on common hopping coordination [C]. In: Proceedings of (IEEE) INFOCOM, 2010.
- Zheng S, Yang X, Chen S, Lou C. Target channel sequence selection scheme for proactive- decision spectrum handoff [J]. IEEE Communication Letters, 2011, 15(12):1332-1334.
- Song Y, Xie J. ProSpect: A proactive spectrum handoff framework for cognitive radio adhoc networks without common control channel [J]. IEEE Transactions on Mobile Computing, 2012, 11(7):1127-1139.
- Wang C-W, Wang L-C. Modeling and analysis for proactive decision spectrum handoff in cognitive radio networks [C]. In: Proceedings of (IEEE) International Conference on Communications (ICC), 2009.
- Willkomm D, Gross J, Wolisz A. Reliable link maintenance in cognitive radio systems [C]. In: Proceedings of (IEEE) International Symposium on Dynamic Spectrum Access Networks (DySPAN), 2005.
- Tian J, Bi G. A new link maintenance and compensation model for cognitive UWB radio systems [C]. In: Proceedings of International Conference on ITS Telecommunications, 2006.
- Wang L-C, Wang C-W. Spectrum handoff for cognitive radio networks: reactive sensing or proactive sensing [C]. In: Proceedings of (IEEE) International Performance Computing and Communications Conference (IPCCC), 2008.
- Wang C-W, Wang L-C, Adachi F. Modeling and analysis for reactive decision spectrum handoff in cognitive radio networks[C]. In: Proceedings of (IEEE) GLOBECOM, 2010.
- Le H-S T, Liang Q. An efficient power control scheme for cognitive radios [C]. In: Proceedings of Wireless Communications and Networks Conference, 2007:2559-2563.
- Baldo N, Zorzi M. Fuzzy logic for cross layer optimization in cognitive radio networks [J]. IEEE Communication Magazine, 2008:64-72.
- Le H-S T, Ly HD. Opportunistic spectrum access using fuzzy logic for cognitive radio networks [C]. In: Proceedings of 2nd International Conference on Communications and Electronics (ICCE), 2008: 240- 245.
- Kaur P, Moin Uddin, Khosla A. Fuzzy based adaptive bandwidth allocation scheme in cognitive radio networks [C]. In: Proceedings of International Conference on ICT and knowledge Engineering, 2010: 41-45.
- Giupponi L, Perez-Neira AI. Fuzzy based spectrum handoff in cognitive radio networks [C]. In: Proceedings of 3rd International Conference on Cognitive Radio Oriented Wireless Networks and and Communications CrownCom 2008: 1-6.
- Kaur P, Moin Uddin, Khosla A. An efficient spectrum mobility management strategy in cognitive radio networks. 1st UK-India International Workshop on Cognitive Wireless Systems UKIWCWS, 2009.
- Akyildiz IF, Lee WY, Vuran MC, Mohanty S. Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey [J]. Computer Networks (Elsevier), 2006, 50: 2127–2159.
- Dahi S, Tabbane S. Radio resource management on the basis of temporal characterization of spectrum holes in cognitive radio networks [C]. In: Proceedings of 14th International Symposium on Wireless Personal Multimedia Communication (WPMC), 2011.
